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Big Data in Open Innovation

Yet2

Using Big Data in our own scouting activities has been an investment we’ve been making over the few years. To help make this intangible concept feel a little more real, below we share just 3 examples of how we at yet2 leverage Big Data in our scouting: Starting with unique, quality datasets: avoid “garbage in, garbage out.”

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Infoxication: Why Big Data is the solution

mjvinnovation

It was the Spaniard Alfons Cornella, a technology expert and best-selling author, who gave rise to the concept there by the early 2000s. Here, let’s reflect on Infoxication at the business level, which has to do with the concept of Big Data, as we will see throughout this article. As you saw, the problem is a given.

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Examples of Data Science projects to help you leverage results

mjvinnovation

Regardless of industry or size, organizations that want to remain competitive in the era of Big Data need to develop and efficiently implement Data Science capabilities – or risk being left behind. Do you know what Data Science is? One way to understand data science is to visualize what a data scientist does.

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Industry 4.0

eZassi

is the fourth industrial revolution, merging cutting-edge technologies with traditional manufacturing to create a smart and interconnected production ecosystem. It’s all about embracing automation, artificial intelligence, big data, and the Internet of Things to optimize productivity, efficiency, and innovation across the supply chain.

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Top 5 Myths About Data Analytics You Should Stop Believing

Acuvate

Data Analytics in Business. According to Stastia , the global big data market is forecasted to grow to 103 billion U.S. If you are an organization set out to embrace data analytics, here’s a list of the top 5 myths you need to be aware of. Myth 1: Only large companies with big data need data analytics.

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Automakers Must Partner Around Big Data

Corporate Innovation

Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience. Through analysis, Uber can infer the duration of my meetings.

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Automakers Must Partner Around Big Data

Corporate Innovation

Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience. Through analysis, Uber can infer the duration of my meetings.